Spatial-temporal patterns and influencing factors for hemorrhagic fever with renal syndrome : A 16-year national surveillance analysis in China
© 2024 The Authors. Published by Elsevier B.V..
Background: China is confronted with the significant menace posed by hemorrhagic fever with renal syndrome (HFRS). Nevertheless, the long-term spatial-temporal variations, regional prevalence patterns, and fundamental determinants' mechanisms for HFRS remain inadequately elucidated.
Methods: Newly diagnosed cases of HFRS from January 2004 to December 2019 were acquired from the China Public Health Science Data repository. We used Age-period-cohort and Bayesian Spacetime Hierarchy models to identify high-risk populations and regions in mainland China. Additionally, the Geographical Detector model was employed to quantify the determinant powers of significant driver factors to the disease.
Results: A total of 199,799 cases of HFRS were reported in mainland China during 2004-2019. The incidence of HFRS declined from 1.93 per 100,000 in 2004 to 0.69 per 100,000 in 2019. The incidence demonstrated an inverted U-shaped trend with advancing age, peaking in the 50-54 age group, with higher incidences observed among individuals aged 20-74 years. Hyperendemic areas were mainly concentrated in the northeastern regions of China, while some western provinces exhibited a potential upward trend. Geographical detector model identified that the spatial variations of HFRS were significantly associated with the relative humidity (Q = 0.36), forest cover (Q = 0.26), rainfall (Q = 0.18), temperature (Q = 0.16), and the surface water resources (Q = 0.14).
Conclusions: This study offered comprehensive examinations of epidemic patterns, identified high-risk areas quantitatively, and analyzed factors influencing HFRS transmission in China. The findings may contribute to the necessary implementations for the effective prevention and control of HFRS.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:18 |
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| Enthalten in: |
One health (Amsterdam, Netherlands) - 18(2024) vom: 06. Apr., Seite 100725 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Wen, Bo [VerfasserIn] |
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| Links: |
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| Themen: |
China |
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| Anmerkungen: |
Date Revised 25.04.2024 published: Electronic-eCollection Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1016/j.onehlt.2024.100725 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM371126231 |
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| 245 | 1 | 0 | |a Spatial-temporal patterns and influencing factors for hemorrhagic fever with renal syndrome |b A 16-year national surveillance analysis in China |
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| 520 | |a © 2024 The Authors. Published by Elsevier B.V. | ||
| 520 | |a Background: China is confronted with the significant menace posed by hemorrhagic fever with renal syndrome (HFRS). Nevertheless, the long-term spatial-temporal variations, regional prevalence patterns, and fundamental determinants' mechanisms for HFRS remain inadequately elucidated | ||
| 520 | |a Methods: Newly diagnosed cases of HFRS from January 2004 to December 2019 were acquired from the China Public Health Science Data repository. We used Age-period-cohort and Bayesian Spacetime Hierarchy models to identify high-risk populations and regions in mainland China. Additionally, the Geographical Detector model was employed to quantify the determinant powers of significant driver factors to the disease | ||
| 520 | |a Results: A total of 199,799 cases of HFRS were reported in mainland China during 2004-2019. The incidence of HFRS declined from 1.93 per 100,000 in 2004 to 0.69 per 100,000 in 2019. The incidence demonstrated an inverted U-shaped trend with advancing age, peaking in the 50-54 age group, with higher incidences observed among individuals aged 20-74 years. Hyperendemic areas were mainly concentrated in the northeastern regions of China, while some western provinces exhibited a potential upward trend. Geographical detector model identified that the spatial variations of HFRS were significantly associated with the relative humidity (Q = 0.36), forest cover (Q = 0.26), rainfall (Q = 0.18), temperature (Q = 0.16), and the surface water resources (Q = 0.14) | ||
| 520 | |a Conclusions: This study offered comprehensive examinations of epidemic patterns, identified high-risk areas quantitatively, and analyzed factors influencing HFRS transmission in China. The findings may contribute to the necessary implementations for the effective prevention and control of HFRS | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a China | |
| 650 | 4 | |a Hemorrhagic fever with renal syndrome | |
| 650 | 4 | |a Risk factors | |
| 650 | 4 | |a Spatial-temporal patterns | |
| 700 | 1 | |a Yang, Zurong |e verfasserin |4 aut | |
| 700 | 1 | |a Ren, Shaolong |e verfasserin |4 aut | |
| 700 | 1 | |a Fu, Ting |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Rui |e verfasserin |4 aut | |
| 700 | 1 | |a Lu, Mengwei |e verfasserin |4 aut | |
| 700 | 1 | |a Qin, Xiaoang |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Ang |e verfasserin |4 aut | |
| 700 | 1 | |a Kou, Zhifu |e verfasserin |4 aut | |
| 700 | 1 | |a Shao, Zhongjun |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Kun |e verfasserin |4 aut | |
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